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Less is Better: Recovering Intended-Feature Subspace to Robustify NLU
Models

Less is Better: Recovering Intended-Feature Subspace to Robustify NLU Models

International Conference on Computational Linguistics (COLING), 2022

16 September 2022

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Papers citing "Less is Better: Recovering Intended-Feature Subspace to Robustify NLU Models"

3 / 3 papers shown

Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to
Address Shortcut Shifts in Natural Language Understanding

Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding

273

1

0

17 Jun 2024

Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization

Modeling the Q-Diversity in a Min-max Play Game for Robust OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023

Xuanjing Huang

136

4

0

20 May 2023

Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence
Embedding

Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence EmbeddingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022

Xuanjing Huang

141

11

0

14 Oct 2022